Salesforce Development Best Practices: Apex, LWC and Flows

Almost every Salesforce developer has that one project they’d rather forget.

The one where governor limits kept hitting at the worst possible moments. When the Flow someone built a long time ago started breaking records nobody knew it was touching. Where a Lightning Web Component that worked perfectly in sandbox threw errors the moment it hit production, in front of the client.

These aren’t rare edge cases. They’re what happens when development moves fast without a solid foundation underneath it.

Apex code best practices are not just theoretical guidelines that look good in documentation. They’re the difference between an org that scales with your business and one that starts creaking under pressure the moment real usage picks up.

Here’s what actually matters and why.

 

Apex: Where Most Performance Problems Are Born

Apex is powerful, and that power comes with responsibility. The single most common mistake developers make, especially under deadline pressure, is writing code that works fine in testing and falls apart in production.

The biggest culprit? SOQL queries inside loops.

It sounds basic. Every developer working for salesforce implementation has heard it. And yet it keeps showing up in org audits because it’s the kind of shortcut that’s easy to take when you’re focused on getting something out the door. One query per record feels harmless when you’re testing with five records. When that trigger fires on a bulk data load of 10,000, you’ve hit your governor limit before the process is halfway through.

Apex code best practices 

Start with  bulkifying everything. Write your triggers assuming they will always process 200 records at once, because Salesforce will not warn you before it makes that happen.

Beyond bulkification, a few other things that matter more than most developers give them credit for:

• One trigger per object:  Multiple triggers on the same object create execution order problems that are genuinely difficult to debug. Keep a single trigger per object and use a handler class to manage the logic. It’s cleaner, testable, and much easier to hand off to another developer.
  
• Separate logic from triggers:  Triggers should be thin; they call handler classes, not contain business logic themselves. This isn’t just organizational preference; it makes your code properly testable and significantly easier to maintain as the org evolves.
  
• Write tests that mean something: Salesforce requires 75% code coverage. That number is a floor, not a target. Tests that only exist to hit coverage thresholds aren’t tests, they’re false confidence. Write tests that cover real scenarios, edge cases, and bulk operations. Your future self will thank you.
  
• Handle errors explicitly: Don’t let failures disappear silently. Use try-catch blocks in asynchronous contexts, log meaningful errors, and build in enough visibility to diagnose problems when something goes wrong in production because something always eventually does.

Lightning Web Components: Performance Isn’t Optional

Lightning Web Components changed how Salesforce developers build UI; faster rendering, better alignment with web standards, and a component model that actually scales. But LWC introduces its own set of traps if you’re not careful.

The most common performance issue is unnecessary re-rendering. 

LWC’s reactive properties are powerful, but when they’re not managed carefully, a single state change can trigger cascading re-renders that make components feel sluggish. Be deliberate about what you mark as reactive. Not every property needs to be.

Wire adapters and imperative Apex calls each have their place. Wire adapters are great for data that needs to stay reactive and refresh automatically. Imperative calls give you more control when you need to handle loading states, errors, or conditional data fetching. Mixing them without intention creates components that are hard to reason about and harder to debug.

Keep components focused. One component should do one thing well. Large, multi-purpose components become difficult to test, difficult to reuse, and difficult for other developers to pick up. If a component is doing five different things, it’s time to break it apart.

And always handle loading and error states explicitly in your markup. A component that shows nothing while data loads or shows nothing when an error occurs, looks broken to users even when it isn’t. Small UX details like these are what separate solid implementations from ones that generate support tickets.

 

Flows: More Powerful Than Ever, More Dangerous If Misused

Salesforce Flow has become the go-to for automation in modern Salesforce development, and for good reason. It’s declarative, it’s fast to build, and it’s accessible to admins and developers alike.

But that accessibility cuts both ways.

Flows can query records, update records, call Apex, send emails, and trigger other Flows. Stack a few of these together without thinking about governor limits and you’ve built something that works in a 10-record test and fails in a real business scenario.

A few principles that prevent most Flow-related disasters:

Use Get Records elements deliberately. Every Get Records element is a SOQL query. Pulling large record sets without filters, or doing it in a loop, will hit limits. Filter aggressively and only retrieve the fields you actually need.

Avoid record-triggered flows that call each other in chains. It happens more than it should, a Flow on Opportunity updates a field, which triggers a Flow on Account, which updates something on Contact. The logic is spread across three Flows, impossible to trace, and a nightmare to debug when something breaks.

Build with bulkification in mind, yes, even in Flows. Salesforce runs record-triggered Flows in bulk, but certain patterns inside Flows can still cause per-record processing. Understand how your Flow executes under load before it goes to production.

 

Where Is the Platform Heading and Why It Matters Now?

Salesforce isn’t standing still, and the best development practices account for where the platform is moving, not just where it is today.

Salesforce Agentforce and Salesforce Agentic AI represent a genuine shift in how Salesforce orgs will be built and used. AI agents that can take actions, handle customer interactions, and execute business processes autonomously are no longer a future roadmap item; they’re shipping.

The code and architecture decisions you make today will determine how cleanly your org integrates with these capabilities.

Well-structured Apex, modular LWCs, and properly scoped Flows are far easier to connect to Agentforce agents than tangled, tightly coupled code. This is one more reason why clean architecture isn’t just an aesthetic preference, it’s a strategic one.

Salesforce Data 360 and Salesforce Headless 360 are similarly pushing orgs toward more connected, more composable architectures.

Data 360 means your CRM data needs to be clean and consistently structured to be useful across the ecosystem.

Headless 360 means your front-end components may need to serve multiple surfaces, not just the Salesforce UI. LWCs built with reusability and clear data contracts in mind are much better positioned for this.

Salesforce MCP (Model Context Protocol) integration is Salesforce’s move toward making org data and metadata accessible to AI models in a structured, governed way. 

For developers, this means the quality and structure of your data model matters more than ever. Messy schemas and undocumented customizations become liabilities in an AI-connected org.

 

Conclusion

Salesforce development done well isn’t just about making features work. It’s about making them work reliably, at scale, and in a way that doesn’t create problems for the next person who has to touch the code.

Solid Apex code best practices, disciplined LWC architecture, and thoughtfully built Flows are the foundation. As Salesforce continues evolving through Agentforce, Data 360, Headless 360, and MCP; that foundation will determine how well your org adapts to what’s next.

The developers who build things cleanly today are the ones who spend less time firefighting tomorrow.

If you’re not sure where your org stands, the Manras team is worth talking to. Contact them and get a straight assessment of what’s working, what isn’t, and what it would actually take to clean things up.

 

FAQs

Why are Apex code best practices so important in Salesforce development? 

Salesforce enforces strict governor limits on every transaction. Code that ignores these limits works in low-volume testing and fails in real-world usage. Best practices ensure your code is reliable, scalable, and doesn’t break when it matters most.

What is the most common Apex mistake developers make?

Writing SOQL queries inside loops. It’s the fastest way to hit governor limits in bulk operations and one of the most common issues found during org audits.

When should I use Flows vs Apex in Salesforce? 

Use Flows for straightforward automation that doesn’t require complex logic, heavy data manipulation, or reuse across multiple contexts. Use Apex when you need precise control, complex business logic, or performance at scale. When in doubt, start with Flow and reach for Apex when Flow hits its limits.

What is Salesforce MCP and why should developers care?

Salesforce MCP (Model Context Protocol) is Salesforce’s approach to making org data accessible to AI models in a structured, governed way. For developers, it means that a clean, well-documented data model becomes increasingly important as AI capabilities get layered into the platform.

For more insights, updates, and expert tips, follow us on LinkedIn.